explaining-machine-learning-models

2 stars
17

This skill enables Claude to provide interpretability and explainability for machine learning models. It is triggered when the user requests explanations for model predictions, insights into feature importance, or help understanding model behavior. The skill leverages techniques like SHAP and LIME to generate explanations. It is useful when debugging model performance, ensuring fairness, or communicating model insights to stakeholders. Use this skill when the user mentions "explain model", "i...

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Installation for Agentic Skill

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skilz install jeremylongshore/claude-code-plugins-nixtla/explaining-machine-learning-models
skilz install jeremylongshore/claude-code-plugins-nixtla/explaining-machine-learning-models --agent opencode
skilz install jeremylongshore/claude-code-plugins-nixtla/explaining-machine-learning-models --agent codex
skilz install jeremylongshore/claude-code-plugins-nixtla/explaining-machine-learning-models --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/jeremylongshore/claude-code-plugins-nixtla
2. Copy the agent skill directory:
cp -r claude-code-plugins-nixtla/archive/backups-20251108/plugin-enhancements/plugin-backups/model-explainability-tool_20251020_023430/skills/skill-adapter ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Stars
2
Type
Technical
Meta-Domain
data ai
Primary Domain
machine learning
Market Score
17

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